Desnoworacle: quantifying mask-oracle gap recovery by a training-free snow prior in compact image desnowing

Gunawan, Teddy Surya and Kartiwi, Mira (2026) Desnoworacle: quantifying mask-oracle gap recovery by a training-free snow prior in compact image desnowing. IIUM Engineering Journal, 27 (3). pp. 296-318. ISSN 1511-788X E-ISSN 2289-7860

	PDF - Published Version Restricted to Registered users only Download (8MB) | Request a copy
Preview	PDF - Supplemental Material Download (564kB) | Preview
Preview	PDF - Supplemental Material Download (216kB) | Preview

Abstract

Snow occludes visual information needed by outdoor perception systems. This study evaluates whether a deterministic, training-free spatial snow-response map improves compact image desnowing beyond the effect of its conditioning branch. All conditions use a fixed approximately 2-million-parameter backbone and matched controls. Under the original 2,500-image, 100-epoch protocol, estimated-map SSM improves mean PSNR by 1.004 dB over Base and by 0.490 and 0.517 dB over zero- and shuffled-input SSM. A paired analysis averaging predictions across three seeds gives median gains of 0.387 and 0.420 dB, respectively. Under an extended protocol that also changes training-set size and learning-rate scheduling, this ordering reverses: estimated-map SSM trails zero and shuffled controls by 0.109 and 0.160 dB in mean PSNR. Thus, the experiments demonstrate protocol sensitivity, not an isolated convergence effect. A mask oracle remains an architecture-specific, synthesis-privileged diagnostic reference; the estimated map recovers 12.4% of its short-protocol PSNR headroom. Results on 1,329 unpaired real images are mixed and indirect: no-reference indices favor the estimated map, whereas unlabelled detector counts do not distinguish its content from the controls. These findings show why spatial-prior claims require matched controls, correct repeated-measures analysis, and protocol checks.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Image Desnowing, Adverse Weather Perception, Spatial Conditioning, Snow Severity Prior, Compact Restoration
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Prof. Dr. Teddy Surya Gunawan
Date Deposited:	28 Sep 2026 14:30
Last Update:	28 Sep 2026 14:30
Queue Number:	2026-09-Q5296
URI:	http://irep.iium.edu.my/id/eprint/131544
Indexed In:	WOS and SCOPUS, ERA, Google Scholar, MyCite

Actions (login required)

View Item